Water pumps are very important systems for transferring efficient water in real life applications. For that reason, it is very important to analyze the parameters of the photovoltaic (PV) actuated water pump systems. In this investigation, a constructed and PV powered, water pump system’s forces are analyzed with proposed neural network predictors for identification in real life applications. The results of simulations improved that the proposed neural network has superiority performance to adapt force and work parameters of the PV water pumps.

linear motors, actuators, neural network predictors, water pumps.